233 search results - page 1 / 47 » On Benchmarking Stochastic Global Optimization Algorithms |
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
The (1+1)-ES with one-fifth success rule is one of the first and simplest stochastic algorithm proposed for optimization on a continuous search space in a black-box scenario. In...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
ASPDAC
2006
ACM
13 years 11 months ago
2006
ACM
In recent years, the X-Architecture is introduced to obtain better performance for integrated circuit physical design. This paper reformulates the global routing problem in X-Archi...